Answer: All APIs of Node.js library are aynchronous that is non-blocking. It essentially means a Node.js based server never waits for a API to return data. Server moves to next API after calling it and a notification mechanism of Events of Node.js helps server to get response from the previous API call.
Source: tutorialspoint.com
| version: '3.7' | |
| services: | |
| postgres: | |
| build: ./postgres | |
| restart: always | |
| environment: | |
| POSTGRES_PASSWORD: 12345 | |
| volumes: | |
| - ./postgres/data:/var/lib/postgresql/data |
| import 'dart:ui'; | |
| import 'package:flutter/material.dart'; | |
| import 'package:redux/redux.dart'; | |
| import 'package:flutter_redux/flutter_redux.dart'; | |
| import 'curves.dart' as mt_curves; | |
| class PagesSwitcher extends StatelessWidget { | |
| final List<Widget> pages = [ | |
| FirstPage(), |
| GBS FILE SPECIFICATION 1.02 | |
| A file format for ripped GameBoy sound | |
| By Scott Worley <ripsaw8080@hotmail.com> | |
| GBS files are similar to PSID and NSF files. Code and data that is relevant to | |
| sound production is ripped from a GameBoy ROM and combined with a descriptive | |
| header to produce a compact sound module file. A player program that emulates | |
| some of the hardware of a GameBoy is required to listen to these files. |
| <?php | |
| namespace App\Http\Middleware; | |
| use Illuminate\Http\Request; | |
| use Illuminate\Support\Facades\Log; | |
| use Symfony\Component\HttpFoundation\Response; | |
| class LogResponseTimeMiddleware | |
| { |
git config --global user.name "Tomas Prokop"
git config --global user.email tomas.prokop@REDACTED.com
This document outlines the steps to set up a one tunnel IPSec Site to site VPN on AWS and a VM on another cloud provider (Packet) running Strongswan.
(References:
https://docs.aws.amazon.com/vpn/latest/s2svpn/SetUpVPNConnections.html
(This can be any cloud provider. It does not have to be Packet)
UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli
Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.
Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.
Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!
| curl -sIL `pbpaste` | grep ^[lL]ocation | cut -c 11- | pbcopy |
